Kaul, T., Meyer, T., &; Sextro, W. (2017). Formulation of reliability-related objective functions for design of intelligent mechatronic systems. SAGE Journals, Vol. 231(4), 390–399.https://doi.org/10.1177/1748006X17709376 

Ho, N., Kaufmann, P., &; Platzner, M. (2017). Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In 2017 International Conference on Field Programmable Technology (ICFPT) (pp. 215–218).https://doi.org/10.1109/FPT.2017.8280144 

Bossek, J. (2017). Ecr 2.0: A Modular Framework for Evolutionary Computation in R. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1187–1193.https://doi.org/10.1145/3067695.3082470 

Bossek, J., &; Grimme, C. (2017). A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1–8.https://doi.org/10.1109/SSCI.2017.8285183 

Meyer , T., Unger, A., Althoff, S., Sextro, W., Brökelmann, M., Hunstig, M., &; Guth, K. (2016). Reliable Manufacturing of Heavy Copper Wire Bonds Using Online Parameter Adaptation. In IEEE 66th Electronic Components and Technology Conference (pp. 622–628).https://doi.org/10.1109/ECTC.2016.215 

Bossek, J., &; Trautmann, H. (2016). Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, 3–12.https://doi.org/10.1007/978-3-319-49130-1_1 

Ho, N., Ahmed, A. F., Kaufmann, P., &; Platzner, M. (2015). Microarchitectural optimization by means of reconfigurable and evolvable cache mappings. In Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS) (pp. 1–7).https://doi.org/10.1109/AHS.2015.7231178 

Stille, K. S. C., Böcker, J., Bettentrup, R., &; Kaiser, I. (2015). Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten. ETG-Fachtagung “Von Smart Grids Zu Smart Markets.”

Bossek, J., Bischl, B., Wagner, T., &; Rudolph, G. (2015). Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. Proceedings of the Genetic and Evolutionary Computation Conference, 1319–1326.https://doi.org/10.1145/2739480.2754673 

Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., &; Trautmann, H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. Proceedings of the Genetic and Evolutionary Computation Conference , 425–432.https://doi.org/10.1145/2739480.2754705 

Meyer , T., &; Sextro, W. (2014). Closed-loop Control System for the Reliability of Intelligent Mechatronic Systems. In Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014 (Vol. 5).

Meyer , T., Sondermann-Wölke, C., &; Sextro, W. (2014). Method to Identify Dependability Objectives in Multiobjective Optimization Problem. Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence, 15, 46–53.https://doi.org/10.1016/j.protcy.2014.09.033 

Brockhoff, D., Wagner, T., &; Trautmann, H. (2012). On the Properties of thehttps://doi.org/10.1145/2330163.2330230__Indicator. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 465–472.https://doi.org/10.1145/2330163.2330230 

Bischl, B., Mersmann, O., Trautmann, H., &; Preuß, M. (2012). Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 313–320.https://doi.org/10.1145/2330163.2330209 

Mersmann, O., Bischl, B., Trautmann, H., Preuss, M., Weihs, C., &; Rudolph, G. (2011). Exploratory Landscape Analysis. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 829–836.https://doi.org/10.1145/2001576.2001690 

Kretzschmar, N., &; Schöppner, V. (2010). Simulating Tightly Intermeshing, Co-Rotating Twin Screw Extruders with SIGMA. In Proceedings of the 2010 Summer Computer Simulation Conference (pp. 133–140). San Diego, CA, USA: Society for Computer Simulation International.

Finkbeiner, J., Bodenstein, C., Schryen, G., &; Neumann, D. (2010). Applying heuristic methods for job scheduling in storage markets. In 18th European Conference on Information Systems (ECIS 2010).

Mersmann, O., Preuss, M., &; Trautmann, H. (2010). Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, 73–82.

Sondermann-Wölke, C., &; Sextro, W. (2009). Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules. In Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World: (pp. 15–20).https://doi.org/10.1109/ComputationWorld.2009.47 

Kaufmann, P., &; Platzner, M. (2007). MOVES: A Modular Framework for Hardware Evolution. In Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007) (pp. 447–454). Edinburgh, UK: IEEE.https://doi.org/10.1109/ahs.2007.73